






'''simple docstring'''



def 				lowercase_					(     __A			:							int       ,   __A			:							int      )							->   str:



 """simple docstring"""




 if not isinstance(__A       ,   __A      ):
  raise ValueError('''iterations must be defined as integers'''      )
 if not isinstance(__A       ,   __A      ) or not number >= 1:
  raise ValueError(
      '''starting number must be
                         and integer and be more than 0'''      )
 if not iterations >= 1:
  raise ValueError('''Iterations must be done more than 0 times to play FizzBuzz'''      )

 lowercase       : Optional[Any]						=''''''
 while number <= iterations:
  if number % 3 == 0:
   out += "Fizz"
  if number % 5 == 0:
   out += "Buzz"
  if 0 not in (number % 3, number % 5):
   out += str(__A      )

  # print(out)
  number += 1
  out += " "
 return out


if __name__ == "__main__":
      import doctest

      doctest.testmod()










'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCAmelCase									=   {
    """configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase									=   [
					    """GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """GraphormerForGraphClassification""",
					    """GraphormerModel""",
					    """GraphormerPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_graphormer import (
										    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GraphormerForGraphClassification,
										    GraphormerModel,
										    GraphormerPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase									=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



